Senior – Mle – Python, Ml Frameworks, Mlops, Containerization, Terraform, Gcp, Vertex Ai, Ibm Watsonx
UPS
Not specified (assumed to be hybrid based on industry trends).
Python programming proficiency
Gcp vertex ai experience
Docker and kubernetes containerization
UPS is seeking a Senior Machine Learning Engineer to design and deploy scalable ML models and pipelines that enhance their logistics operations. The ideal candidate should possess extensive experience in machine learning, MLOps, and cloud environments, with a strong foundation in Python and data management
Job Summary
This role involves building scalable, production-grade ML solutions that power the Smart Logistics Network and optimize global transportation operations.
Candidates will design and maintain automated retraining, drift detection, and re-deployment workflows to ensure model reliability at scale.
The team fosters an innovative culture where engineers collaborate across disciplines to solve complex problems in a Fortune Global 500 organization.
Matching Summary
Match Score: 85
UPS is seeking a Senior Machine Learning Engineer to design and deploy scalable ML models and pipelines that enhance their logistics operations. The ideal candidate should possess extensive experience in machine learning, MLOps, and cloud environments, with a strong foundation in Python and data management.
Skills & Requirements
Must-have
Python programming proficiency
GCP Vertex AI experience
Docker and Kubernetes containerization
Terraform infrastructure as code
MLOps pipeline development
CI/CD workflow implementation
Nice-to-have
IBM WatsonX platform knowledge
Real-time inference systems
Feature store management
Model interpretability frameworks
Logistics domain expertise
Open-source ML contributions
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
5+ years of experience in machine learning engineering or MLOps
Strong foundations in data structures, algorithms, and distributed systems